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Senior Computational Imaging Scientist Jobs (NOW HIRING)

You will develop and apply computational imaging models that connect optical design, image ... Working closely with senior engineers and cross-functional teams, you will help evaluate and mature ...

$108 - $195/hr

You will develop and apply computational imaging models that connect optical design, image ... Working closely with senior engineers and cross-functional teams, you will help evaluate and mature ...

About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design ... About the Team You will join our expert Computational Imaging team, where we develop sophisticated ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

Computational Imaging Researcher

New York, NY ยท On-site

$125K - $170K/yr

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

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Senior Computational Imaging Scientist information

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$51.5K

$101.4K

$158.5K

How much do senior computational imaging scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior computational imaging scientist in the United States is $101,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a senior computational imaging scientist do?

A Senior Computational Imaging Scientist develops advanced algorithms and software to process, analyze, and enhance images, often for scientific, medical, or industrial applications. They work at the intersection of computer vision, machine learning, and imaging systems, collaborating with engineers and researchers to solve complex imaging problems. Their responsibilities often include designing experiments, interpreting data, and publishing results, as well as mentoring junior team members. This role requires deep expertise in mathematics, programming, and imaging technologies.

What are the key skills and qualifications needed to thrive as a senior computational imaging scientist?

A Senior Computational Imaging Scientist typically requires an advanced degree in physics, electrical engineering, computer science, or a related field, with deep expertise in image processing, algorithms, and machine learning. Proficiency with programming languages (such as Python, MATLAB, or C++), experience with computational imaging software, and familiarity with tools like TensorFlow or OpenCV are essential. Strong problem-solving abilities, collaboration skills, and effective communication set top performers apart. These competencies enable development of innovative imaging solutions and ensure effective teamwork on complex, multidisciplinary projects.

How does a senior computational imaging scientist typically collaborate with cross-functional teams during a project?

Senior Computational Imaging Scientists often work closely with engineers, software developers, and product managers to translate imaging requirements into practical solutions. Collaboration involves regular meetings to discuss progress, troubleshoot technical challenges, and align on project goals. Effective communication is key, as the role bridges advanced imaging techniques with system integration, ensuring that algorithms are efficiently implemented and meet the needs of end users. This collaborative environment fosters innovation and supports the successful deployment of imaging technologies in real-world applications.

What is the difference between Senior Computational Imaging Scientist vs Computational Imaging Scientist?

AspectSenior Computational Imaging ScientistComputational Imaging Scientist
Required CredentialsAdvanced degrees (Master's/PhD), extensive experienceSimilar educational background, less experience required
Work EnvironmentResearch labs, industry R&D teams, academiaResearch-focused, industry or academic settings
Employer & Industry UsageTech companies, medical imaging, defense, academiaSimilar sectors, often entry to mid-level roles

The main difference is that Senior Computational Imaging Scientists typically have more experience, leadership responsibilities, and advanced expertise, whereas Computational Imaging Scientists are often earlier in their careers with similar technical skills. Both roles work in research and development environments within tech, medical, or defense industries, but senior roles involve more strategic input and project leadership.

More about Senior Computational Imaging Scientist jobs

What cities are hiring for Senior Computational Imaging Scientist jobs?

Cities with the most Senior Computational Imaging Scientist job openings:

What are the most commonly searched types of Computational Imaging Scientist jobs?

The most popular types of Computational Imaging Scientist jobs are:

What states have the most Senior Computational Imaging Scientist jobs?

States with the most job openings for Senior Computational Imaging Scientist jobs include:

Infographic showing various Senior Computational Imaging Scientist job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 67% Full Time, 14% Part Time, and 15% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $101,443 per year, or $48.8 per hour.

Computational Imaging Scientist

Via Logic LLC

San Diego, CA โ€ข On-site

$108 - $195/hr

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

Are you ready for your next career challenge?

The Leidos Defense Space Business Area is seeking an Optical Engineer specializing in Computational Imaging to support the Emerging Space Systems Division in the development of meta-optic-enabled computational imaging systems for edge processing on next-generation space missions. The Space Business Area is transforming space payload solutions through customer-funded programs and internal research and development (IR&D) efforts focused on enabling new capabilities in space-based sensing.

Primary Responsibilities

In this role, you will support the design, modeling, and experimental validation of infrared meta-optic systems integrated with digital reconstruction and inference algorithms. You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance.

You will contribute to the development of simulation tools and algorithms for analyzing hybrid optical-digital imaging systems, including forward image-formation models, inverse-problem formulations, reconstruction algorithms, and end-to-end optimization of optical and computational parameters. You will also support design trades and system-level evaluations involving image quality, signal-to-noise ratio, reconstruction fidelity, classification performance, robustness, and computational complexity.

Working closely with senior engineers and cross-functional teams, you will help evaluate and mature emerging optical technologies, including metaoptics and optical computing systems, analyze experimental data to inform design decisions, and document results to support internal R&D and program efforts.

This position includes both analytical and experimental responsibilities, with an emphasis on modeling and algorithm development. The ideal candidate is comfortable working across optical simulation, computational imaging, machine learning, and laboratory environments and is interested in developing integrated optical-digital sensing systems.

Basic Qualifications
  • BS degree in Physics, Materials Science, Optics, or a related field with 8+ years of prior relevant experience or MS with 6+ years of prior relevant experience. May possess a Doctorate in technical domain.
  • Demonstrated research or development experience in computational imaging or a closely related field
  • Experience with Fourier optics, wave propagation, diffraction, and coherence theory
  • Experience with optimization methods used in computational imaging, including gradient-based optimization, regularization, or statistical estimation
  • Familiarity with machine-learning-based reconstruction or inference methods, including convolutional neural networks or related architectures
  • Experience programming in Python using scientific-computing and machine-learning tools such as NumPy, SciPy, PyTorch, JAX, or TensorFlow; experience with MATLAB or C++ may also be applicable
  • Strong analytical and problem-solving skills with attention to detail
  • Must be a U.S Citizen
  • Must be able to obtain and maintain a Secret security clearance.
Preferred Qualifications
  • Active Secret clearance with ability to obtain a higher-level clearance (TS/SCI)
  • Experience designing or modeling optical systems using Zemax OpticStudio, CODE V, FRED, or equivalent software
  • Experience developing and evaluating machine-learning-based image reconstruction, detection, or classification systems
  • Experience working in a laboratory environment, including optical alignment, imaging-system testing, detector characterization, or optical characterization
  • Familiarity with diffractive optics, meta-optics, metasurfaces, or nanophotonic inverse-design
  • Experience with electromagnetic modeling tools such as COMSOL, Ansys Lumerical, or equivalent
  • Record of research contributions demonstrated through publications, patents, conference presentations, or development of relevant computational-imaging systems
Why Leidos?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Our team is solving the worldโ€™s toughest security challenges for customers with can't fail missions.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

August 19, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer including (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidosโ€™ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system โ€“ never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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